Blog
About

107
views
0
recommends
+1 Recommend
1 collections
    8
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Sonic Xplorer: A Machine Learning Approach for Parametric Exploration of Sound

      Electronic Visualisation and the Arts (EVA 2017) (EVA)

      Electronic Visualisation and the Arts

      11 – 13 July 2017

      Sound synthesis, Multiparametric control, Artificial neural networks, Sound timbre, Semantic descriptors

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This paper presents Sonic Xplorer an interfaces that uses timbre adjectives for multiparametric control sound synthesis. The interface utilises an artificial neural network to create a personalised interface. Users can manipulate a large number of sound synthesis parameters without the need to learn or use the synthesiser’s complex interface by utilising programed sounds by expert users. Sonic Xplorer learns a correlation based on users’ ratings between timbre adjectives and the acoustic descriptors. Timbre adjectives are then used to describe the acoustic qualities of the desired sound. This paper discusses in detail the approach that has been followed to develop the system and the mapping and strategies users employed when using the interface in order to discover new sounds.

          Related collections

          Most cited references 13

          • Record: found
          • Abstract: not found
          • Article: not found

          The Importance of Parameter Mapping in Electronic Instrument Design

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Exploring violin sound quality Investigating English timbre descriptors and correlating resynthesized acoustical modifications with perceptual properties

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A matlab toolbox for musical feature extraction from audio.

                Bookmark

                Author and article information

                Contributors
                Conference
                July 2017
                July 2017
                : 144-149
                Affiliations
                Centre for Interaction Design

                Edinburgh Napier University

                10 Colinton Road, EH10 5DT

                Scotland
                10.14236/ewic/EVA2017.34
                © Tsiros. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2017, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Electronic Visualisation and the Arts (EVA 2017)
                EVA
                London, UK
                11 – 13 July 2017
                Electronic Workshops in Computing (eWiC)
                Electronic Visualisation and the Arts
                Product
                Product Information: 1477-9358 BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

                Comments

                Comment on this article